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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bidensity.wasp
Title produced by softwareBivariate Kernel Density Estimation
Date of computationSun, 16 Dec 2018 18:10:19 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Dec/16/t1544980403ksikzaqnlrmyvxj.htm/, Retrieved Sun, 05 May 2024 06:27:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315900, Retrieved Sun, 05 May 2024 06:27:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Bivariate Kernel Density Estimation] [Countries 4] [2018-12-16 17:10:19] [e5fb83f5878d2d8e7ed5cb1b57a35a7d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
614.66
4534.37
5430.57
4665.91
13205.1
13540
3426.39
NA
66604.2
51274.1
7106.04
22647.3
24299
857.5
15722.8
6300.45
48053.3
746.83
70626.3
2395
2253.09
4708.85
7743.5
13237.6
NA
47097.4
7615.28
671.07
276.69
3801.45
877.64
1271.21
52145.4
NA
495.04
1161.22
14525.8
5560.94
7305.22
860.24
1943.69
338.63
8979.96
1016.83
14522.8
5175.94
31454.7
21676.3
61413.6
1433.17
7088.01
6085.89
5192.88
2930.33
3696.33
24064
439.73
17304.4
379.38
4201.37
50960.2
45430.3
NA
NA
11989
505.76
3710.7
46822.4
1627.9
25987.4
7410.48
NA
3233.8
459.09
681.25
3269.46
749.13
2269.51
13964.2
1513.85
3688.53
7511.1
5848.54
52853.6
33718.9
38412
5226.3
46201.6
4615.17
11278
1062.11
NA
24155.8
41830.5
1116.37
1236.24
13732
9143.86
1338.42
397.38
5859.43
14373.7
114665
5174.89
456.33
493.84
10252.6
741.22
NA
1524.39
8811.15
10123.9
1971.03
3736.07
7251.6
NA
3149.43
538.82
1117.58
5880.8
NA
700.07
53589.9
NA
37488.3
1626.85
410.91
2612.12
100172
22622.8
1218.6
8410.77
1871.21
3557.31
5684.73
2379.44
13769.5
23217.3
99431.5
NA
9213.94
13320.2
628.08
12952.5
7737.2
6171.48
4067.15
1384.53
23593.8
1079.27
6426.18
499.89
53122.4
18103.1
25040.5
1647.86
NA
8089.87
32008.7
2880.03
8190.7
4657.48
59381.9
88506.2
NA
836.17
765.33
5479.29
5167.86
580.86
4330.9
18310.8
4305.07
10437.7
5290.14
601.35
3589.63
40980.5
40817.4
49725
14238.1
1560.85
10237.8
1532.31
NA
1302.3
1740.64
865.91
Dataseries Y:
Download CSV
Histogram 
0.18
0.87
1.14
0.2
NA
1.08
0.89
NA
4.85
4.14
1.25
4.46
6.19
0.26
3.28
2.57
4.43
0.51
NA
0.63
0.67
1.74
2.36
0.91
NA
3.24
2.08
0.12
0.04
NA
NA
0.19
5
3.56
0.08
0.01
2.04
2.32
0.67
0.25
0.47
0.07
1.37
0.26
2.21
1.23
2.94
3.42
2.6
NA
1.47
0.86
1.08
1.02
0.84
3.17
0.03
NA
0.07
1.06
NA
2.71
1.58
2.39
0.43
0.21
0.83
3.28
0.43
2.58
NA
2.61
0.7
0.16
0.09
1.25
0.15
0.6
1.9
0.61
0.64
1.72
1.36
3.22
4.59
2.77
1.09
3.69
1.09
4.59
0.2
0.68
4.17
6.89
0.95
0.09
1.66
2.52
0.51
0.14
2.33
2.15
12.65
2.06
0.07
0.07
2.1
0.1
1.73
0.55
1.99
1.74
1.03
2.09
2.13
NA
0.67
0.17
0.09
1.02
NA
0.16
3.23
1.78
2.84
0.45
0.1
0.21
NA
5.8
0.38
1.44
0.35
0.97
0.67
0.34
2.64
2.15
9.57
3.27
1.46
3.87
0.07
3.34
1.56
NA
0.96
0.37
4.21
0.3
1.66
0.07
5.91
2.82
4.27
0
0.07
2.34
2.22
0.52
3.01
0.67
3.88
4.26
0.81
0.13
0.17
1.54
0.06
0.31
0.88
6.89
1.11
1.92
4.13
0.08
1.92
3.14
6.37
5.9
0.98
1.41
2.13
0.79
NA
0.42
0.24
0.53

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315900&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]2 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315900&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315900&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R ServerBig Analytics Cloud Computing Center






Bandwidth
x axis1644.53101231484
y axis0.328328476033275
Correlation
correlation used in KDE0.824240470189642
correlation(x,y)0.824240470189642

\begin{tabular}{lllllllll}
\hline
Bandwidth \tabularnewline
x axis & 1644.53101231484 \tabularnewline
y axis & 0.328328476033275 \tabularnewline
Correlation \tabularnewline
correlation used in KDE & 0.824240470189642 \tabularnewline
correlation(x,y) & 0.824240470189642 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315900&T=1

[TABLE]
[ROW][C]Bandwidth[/C][/ROW]
[ROW][C]x axis[/C][C]1644.53101231484[/C][/ROW]
[ROW][C]y axis[/C][C]0.328328476033275[/C][/ROW]
[ROW][C]Correlation[/C][/ROW]
[ROW][C]correlation used in KDE[/C][C]0.824240470189642[/C][/ROW]
[ROW][C]correlation(x,y)[/C][C]0.824240470189642[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315900&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315900&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Bandwidth
x axis1644.53101231484
y axis0.328328476033275
Correlation
correlation used in KDE0.824240470189642
correlation(x,y)0.824240470189642


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = no ;
Parameters (R input):
par1 = 50 ; par2 = 50 ; par3 = 0 ; par4 = 0 ; par5 = 0 ; par6 = Y ; par7 = Y ; par8 = terrain.colors ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
par4 <- as(par4,'numeric')
par5 <- as(par5,'numeric')
library('GenKern')
x <- x[!is.na(y)]
y <- y[!is.na(y)]
y <- y[!is.na(x)]
x <- x[!is.na(x)]
if (par3==0) par3 <- dpik(x)
if (par4==0) par4 <- dpik(y)
if (par5==0) par5 <- cor(x,y)
if (par1 > 500) par1 <- 500
if (par2 > 500) par2 <- 500
if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
if (par8 == 'rainbow') mycol <- rainbow(100)
if (par8 == 'heat.colors') mycol <- heat.colors(100)
if (par8 == 'topo.colors') mycol <- topo.colors(100)
if (par8 == 'cm.colors') mycol <- cm.colors(100)
bitmap(file='bidensity.png')
op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab)
if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
if (par7=='Y') points(x,y)
(r<-lm(y ~ x))
abline(r)
box()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Bandwidth',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'x axis',header=TRUE)
a<-table.element(a,par3)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'y axis',header=TRUE)
a<-table.element(a,par4)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation used in KDE',header=TRUE)
a<-table.element(a,par5)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'correlation(x,y)',header=TRUE)
a<-table.element(a,cor(x,y))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')